Two-factor generalized linear statistical models comparing pre-/post-assessment score differences and pre-assessment scores†.

†Two factors: university type (Primarily Undergraduate Institution (PUI) vs. Research Intensive Institution (RI)) and course type. The base model is General Biology taught at a research-intensive institution. The intercept is associated with the base model and indicates the mean pre-/post- difference for the ’Difference in Pre-/Post-Assessment Score’ and the mean pre-score for the ’Pre-Assessment Score’ table sections, respectively. As indicated by the intercept, the base course exhibited significant learning gains; other RI courses had significantly higher estimates (p < 0.05) of average gains, while the average gains amongst PUI courses did not differ significantly (p > 0.05). SE = standard error; Significance, * = p<0.05, ** = p<0.01, *** = p<0.001. n = 373.

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